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      Digital economy, industrial structure upgrading and green total factor productivity——Evidence in textile and apparel industry from China

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          Abstract

          According to the standard of GB/T4754-2017 Classification of National Economic Industry and the characteristics of the textile and apparel industry, the textile and apparel industry is divided into three categories: textile industry, clothing industry and chemical fiber manufacturing industry. Based on the panel data of the textile and apparel industry from 2010 to 2019, this paper measures green total factor productivity (GTFP) by using the unexpected output super efficiency SBM model and the ML index. On this basis, this paper empirically tests the impact of digital economy on the GTFP of textile and apparel industry, and the dual intermediary effects of rationalization of industrial structure and advanced industrial structure are discussed. The results show that: (1) The GTFP of the textile and apparel industry shows a fluctuating upward trend, but it is in a state of low growth. (2) Digital economy has a significant effect on promoting the GTFP. Among them, it has a positive effect on the improvement of GTFP in textile industry, but has no obvious effect on the clothing industry, and has a restraining effect on the chemical fiber manufacturing industry. (3) In the process of the impact of digital economy on GTFP, the rationalization of industrial structure has a partial intermediary effect, and the level of effect reaches 35.81%, while the advancement of industrial structure does not necessarily have a "structural dividend", and its influence on GTFP is non-linear. This paper enriches the research on the influencing factors of GTFP, and is also an effective supplement to the research on digital economy. The conclusions provide a reliable empirical basis for digital economy to help the textile and apparel industry pollution control, and also provide policy references for giving full play to the green value of digital economy.

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          Why do Some Countries Produce So Much More Output Per Worker than Others?

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            Productivity and Undesirable Outputs: A Directional Distance Function Approach

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Writing – original draftRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: Supervision
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                4 November 2022
                2022
                : 17
                : 11
                : e0277259
                Affiliations
                [001] School of Economics and Management, North University of China, Taiyuan, Shanxi, China
                Universitas Nahdlatul Ulama Surabaya, INDONESIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-6337-3187
                Article
                PONE-D-22-14541
                10.1371/journal.pone.0277259
                9635753
                36331964
                003ddfe9-cff6-4a28-b6b2-962799b623b2
                © 2022 Zhu et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 19 May 2022
                : 21 October 2022
                Page count
                Figures: 2, Tables: 11, Pages: 21
                Funding
                Funded by: Shanxi Federation of Social Sciences
                Award ID: KY2021141
                Award Recipient :
                Funded by: Taiyuan Municipal Development and Reform Commission
                Award ID: 2021.9-2021.12
                Award Recipient :
                The authors gratefully acknowledge the financial support provided by Shanxi Federation of Social Sciences (Nos. KY2021141, http://www.sxskw.org.cn/), and Taiyuan Development and Reform Commission (2021.9-2021.12, http://fgw.taiyuan.gov.cn/). The funders had role in decision to publish and preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Ecology
                Theoretical Ecology
                Ecology and Environmental Sciences
                Ecology
                Theoretical Ecology
                Computer and Information Sciences
                Information Technology
                Computer and Information Sciences
                Computer Networks
                Internet
                Ecology and Environmental Sciences
                Pollution
                Water Pollution
                People and Places
                Geographical Locations
                Asia
                China
                Ecology and Environmental Sciences
                Pollution
                Air Pollution
                Engineering and Technology
                Industrial Engineering
                Control Engineering
                Production Control
                Engineering and Technology
                Industrial Engineering
                Production Engineering
                Production Control
                Ecology and Environmental Sciences
                Pollution
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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